def graph_per_month_running(master_dict,choice_dict,unit_dict,days_total):
input1 = days_total
input2 = 'distance_miles'
graph_dict = {}
for choice in choice_dict:
graph_dict[choice] = calc.full_running_totals(master_dict.copy(),input1,input2) #duplicates data dictionary into number of months given
for date_range,choice in zip(graph_dict,choice_dict):
for key in list(graph_dict[date_range].keys()):
if key < get_time.FOM(choice_dict[choice]) or key > get_time.LOM(choice_dict[choice]): #
del graph_dict[date_range][key] #eliminates keys older or newer than specified for each month
y_list = []
for key in sorted(graph_dict[date_range].keys()):
y_list.append(graph_dict[date_range][key]) #gets y values
x_list = list(range(1,len(list(graph_dict[date_range].keys()))+1)) #calculates x values based on y values
plt.plot(x_list,y_list,label=(get_time.what_month(get_time.FOM(choice_dict[choice]).month)+" "+str(get_time.FOM(choice_dict[choice]).year)))
plt.style.use('dark_background')
plt.rcParams['lines.linewidth'] = 1
plt.ylim(ymin=0)
plt.title('Running Total - ' + str(input1) + ' days, Unit: ' + input2)
plt.legend()
plt.show()
import matplotlib.pyplot as plt
import pylab
import matplotlib.dates as mdates
import numpy as np
from pprint import pprint
master_dict = get_data.my_filtered_activities() #grabs dictionary of strava information
input1 = 90 #Blue
input4 = 365 #Red
input2 = 'distance_miles'
input3 = 12 #months back to graph
graph_dict_1 = {}
graph_dict_1 = calc.full_running_totals(master_dict.copy(),input1,input2)
for key in list(graph_dict_1.keys()):
if key < get_time.FOM(input3):
del graph_dict_1[key]
graph_dict_2 = {}
graph_dict_2 = calc.full_running_totals(master_dict.copy(),input4,input2)
for key in list(graph_dict_2.keys()):
if key < get_time.FOM(input3):
del graph_dict_2[key]
def graph(master_dict,unit):
#elapsed_time, distance_miles, average_speed, kudos_count, max_heartrate, average_heartrate, max_speed, pace_dec, total_elevation_gain,
#athlete_count, average_temp, achivement_count
input1 = 7
input2 = 'distance_miles'
x_list = []
y_list = []
x2_list = []
y2_list = []
x3_list = []
y3_list = []
x4_list = []
y4_list = []
graph_dict = calc.full_running_totals(master_dict,input1,input2)
graph_dict1 = graph_dict.copy()
graph_dict2 = graph_dict.copy()
graph_dict3 = graph_dict.copy()
graph_dict4 = graph_dict.copy()
for key in list(graph_dict1):
if key < get_time.FOM(0):
del graph_dict1[key]
for key in list(graph_dict1):
if key > get_time.LOM(0):
del graph_dict1[key]
for key in sorted(graph_dict1.keys()):
x_list.append(key)
y_list.append(graph_dict1[key])
len_x = len(x_list)
x_list2 = range(len_x)
for key in list(graph_dict2):
if key < get_time.FOM(1):
del graph_dict2[key]
for key in list(graph_dict2):
if key > get_time.LOM(1):
del graph_dict2[key]
for key in sorted(graph_dict2.keys()):
x2_list.append(key)
y2_list.append(graph_dict2[key])
len_x2 = len(x2_list)
x2_list2 = range(len_x2)
for key in list(graph_dict3):
if key < get_time.FOM(2):
del graph_dict3[key]
for key in list(graph_dict3):
if key > get_time.LOM(2):
del graph_dict3[key]
for key in sorted(graph_dict3.keys()):
x3_list.append(key)
y3_list.append(graph_dict3[key])
len_x3 = len(x3_list)
x3_list2 = range(len_x3)
for key in list(graph_dict4):
if key < get_time.FOM(3):
del graph_dict4[key]
for key in list(graph_dict4):
if key > get_time.LOM(3):
del graph_dict4[key]
for key in sorted(graph_dict4.keys()):
x4_list.append(key)
y4_list.append(graph_dict4[key])
len_x4 = len(x4_list)
x4_list2 = range(len_x4)
plt.style.use('dark_background')
#plt.axis('off')
plt.rcParams['lines.linewidth'] = 1
plt.plot(x_list2,y_list, color='red')
plt.plot(x2_list2,y2_list, color='blue')
plt.plot(x3_list2,y3_list, color='green')
plt.plot(x4_list2,y4_list, color='yellow')
plt.ylim(ymin=0)
plt.title('Previous 4 Months - ' + str(input1) + ' days total, Unit: ' + input2)
#print(plt.style.available)
plt.legend([get_time.what_month(get_time.FOM(0).month), get_time.what_month(get_time.FOM(1).month), get_time.what_month(get_time.FOM(2).month), get_time.what_month(get_time.FOM(3).month)], loc='best')
plt.show()
def graph(master_dict,unit):
#elapsed_time, distance_miles, average_speed, kudos_count, max_heartrate, average_heartrate, max_speed, pace_dec, total_elevation_gain,
#athlete_count, average_temp, achivement_count
input1 = 7
input2 = 'distance_miles'
x_list = []
y_list = []
x2_list = []
y2_list = []
x3_list = []
y3_list = []
x4_list = []
y4_list = []
graph_dict = calc.full_running_totals(master_dict,input1,input2)
graph_dict1 = graph_dict.copy()
graph_dict2 = graph_dict.copy()
graph_dict3 = graph_dict.copy()
graph_dict4 = graph_dict.copy()
for key in list(graph_dict1):
if key < get_time.LM(0): #if time is greater than now
del graph_dict1[key]
# for key in list(graph_dict1):
# if key > get_time.LS(0):
# del graph_dict1[key]
for key in sorted(graph_dict1.keys()):
x_list.append(key)
y_list.append(graph_dict1[key])
len_x = len(x_list)
x_list2 = range(len_x)
for key in list(graph_dict2):
if key < get_time.LM(1):
del graph_dict2[key]
for key in list(graph_dict2):
if key > get_time.LS(0):
del graph_dict2[key]
for key in sorted(graph_dict2.keys()):
x2_list.append(key)
y2_list.append(graph_dict2[key])
len_x2 = len(x2_list)
x2_list2 = range(len_x2)
for key in list(graph_dict3):
if key < get_time.LM(2):
del graph_dict3[key]
for key in list(graph_dict3):
if key > get_time.LS(1):
del graph_dict3[key]
for key in sorted(graph_dict3.keys()):
x3_list.append(key)
y3_list.append(graph_dict3[key])
len_x3 = len(x3_list)
x3_list2 = range(len_x3)
for key in list(graph_dict4):
if key < get_time.LM(3):
del graph_dict4[key]
for key in list(graph_dict4):
if key > get_time.LS(2):
del graph_dict4[key]
for key in sorted(graph_dict4.keys()):
x4_list.append(key)
y4_list.append(graph_dict4[key])
len_x4 = len(x4_list)
x4_list2 = range(len_x4)
#x_list2 = x2_list2 = x3_list2 = x4_list2 = ['Monday','Tuesday','Wednesday','Thursday','Friday','Saturday','Sunday']
plt.style.use('dark_background')
#plt.axis('off')
plt.rcParams['lines.linewidth'] = 2
plt.plot(x_list2,y_list, color='red')
plt.plot(x2_list2,y2_list, color='blue')
plt.plot(x3_list2,y3_list, color='green')
plt.plot(x4_list2,y4_list, color='yellow')
plt.title('Previous 4 Weeks (Monday - Sunday) - ' + str(input1) + ' days total, Unit: ' + input2)
#plt.ylim(ymin=0)
label1 = calc.month_day(get_time.LM(0))+" - "+calc.month_day(get_time.LS(-1))
label2 = calc.month_day(get_time.LM(1))+" - "+calc.month_day(get_time.LS(0))
label3 = calc.month_day(get_time.LM(2))+" - "+calc.month_day(get_time.LS(1))
label4 = calc.month_day(get_time.LM(3))+" - "+calc.month_day(get_time.LS(2))
#print(plt.style.available)
plt.legend([label1, label2, label3, label4], loc='best')
plt.show()
master_dict = get_data.my_filtered_activities(
) #grabs dictionary of strava information
# for x in master_dict:
# print(master_dict[x]['map']['summary_polyline'])
input1 = 365 #Blue
input2 = 90 #Red
input3 = 30 #
input4 = 8 #
input5 = 7
input6 = 1
months_back = 15
graph_dict_1 = {}
graph_dict_1 = calc.full_running_totals(master_dict.copy(), input1,
'distance_miles')
for key in list(graph_dict_1.keys()):
if key < get_time.FOM(months_back):
del graph_dict_1[key]
#
graph_dict_2 = {}
graph_dict_2 = calc.full_running_totals(master_dict.copy(), input2,
'distance_miles')
for key in list(graph_dict_2.keys()):
if key < get_time.FOM(months_back):
del graph_dict_2[key]
#
def running_totals():
input1 = 365 #Blue
input2 = 90 #Red
input3 = 30 #
input4 = 8 #
input5 = 7
input6 = 1
months_back = 15
graph_dict_1 = {}
graph_dict_1 = calc.full_running_totals(master_dict.copy(), input1,
'distance_miles')
for key in list(graph_dict_1.keys()):
if key < get_time.FOM(months_back):
del graph_dict_1[key]
#
graph_dict_2 = {}
graph_dict_2 = calc.full_running_totals(master_dict.copy(), input2,
'distance_miles')
for key in list(graph_dict_2.keys()):
if key < get_time.FOM(months_back):
del graph_dict_2[key]
#
graph_dict_3 = {}
graph_dict_3 = calc.full_running_totals(master_dict.copy(), input3,
'distance_miles')
for key in list(graph_dict_3.keys()):
if key < get_time.FOM(months_back):
del graph_dict_3[key]
#
graph_dict_4 = {}
graph_dict_4 = calc.full_running_totals(master_dict.copy(), input4,
'distance_miles')
for key in list(graph_dict_4.keys()):
if key < get_time.FOM(months_back):
del graph_dict_4[key]
#
graph_dict_5 = {}
graph_dict_5 = calc.full_running_totals(master_dict.copy(), input5,
'distance_miles')
for key in list(graph_dict_5.keys()):
if key < get_time.FOM(months_back):
del graph_dict_5[key]
#
graph_dict_6 = {}
graph_dict_6 = calc.full_running_totals(master_dict.copy(), input6,
'distance_miles')
for key in list(graph_dict_6.keys()):
if key < get_time.FOM(months_back):
del graph_dict_6[key]
fig, (ax1, ax2, ax3, ax4, ax5,
ax6) = plt.subplots(nrows=6,
figsize=mass_figsize) #figsize sets window
ax1.plot(list(graph_dict_1.keys()), list(graph_dict_1.values()), 'red')
ax1.set_title(str(input1) + " Running Days Total")
ax1.grid(True)
ax2.plot(list(graph_dict_2.keys()), list(graph_dict_2.values()),
'blue') #set up third
ax2.set_title(str(input2) + " Running Days Total")
ax2.grid(True)
ax3.plot(list(graph_dict_3.keys()), list(graph_dict_3.values()),
'green') #set up fourth graph
ax3.set_title(str(input3) + " Running Days Total")
ax3.grid(True)
ax4.plot(list(graph_dict_4.keys()), list(graph_dict_4.values()),
'red') #set up fourth graph
ax4.set_title(str(input4) + " Running Days Total")
ax4.grid(True)
ax5.plot(list(graph_dict_5.keys()), list(graph_dict_5.values()),
'blue') #set up fourth graph
ax5.set_title(str(input5) + " Running Days Total")
ax5.grid(True)
ax6.plot(list(graph_dict_6.keys()), list(graph_dict_6.values()),
'green') #set up fourth graph
ax6.set_title(str(input6) + " Running Days Total")
ax6.grid(True)
fig.subplots_adjust(hspace=0.3)
fig.tight_layout()
append_image("Running_Totals", plt)